Intelligent Support System for Healthcare Logistics 4.0 Optimization in the Covid Pandemic Context

Paul-Eric Dossou, Luiza Foreste, Eric Misumi
{"title":"Intelligent Support System for Healthcare Logistics 4.0 Optimization in the Covid Pandemic Context","authors":"Paul-Eric Dossou, Luiza Foreste, Eric Misumi","doi":"10.4236/jsea.2021.146014","DOIUrl":null,"url":null,"abstract":"The covid pandemic points out inconsistencies and points to improve in the organization of healthcare logistics. Indeed, the dangerousness and the propagation process of the virus imply to increase health security (patient and personal health). In this context, healthcare logistics flows require a new and safety organization improving the hospital performance. The purpose of this paper consists in optimizing healthcare logistics flows by solving problems associated to the internal logistics such as reduction of the personal health wasting time and the protection of both patients and personal health. Then, the methodology corresponds to the use of the hospital sustainable digital transformation as a response to healthcare flows and safety problems. Indeed, social, societal and environmental aspects have to be considered in addition to new technologies such as artificial intelligence (AI), Internet of Things (IoTs), Big data and analytics. These parameters could be used in the healthcare for increasing doctor, nurse, caregiver performance during their daily operations, and patient satisfaction. Indeed, this hospital digital transformation requires the use of large data associated to patients and personal health, algorithms, a performance measurement tool (actual and future state) and a general approach for transforming digitally the hospital flows. The paper findings show that the healthcare logistics performance could be improved with a sustainable digital transformation methodology and an intelligent software tool. This paper aims to develop this healthcare logistics 4.0 methodology and to elaborate the intelligent support system. After an introduction presenting the common hospital flows and their main problems, a literature review will be detailed for showing how existing concepts could contribute to the elaboration of a structured methodology. The structure of the intelligent software tool for the healthcare digital transformation and the tool development processes will be presented. An example will be given for illustrating the development of the tool.","PeriodicalId":62222,"journal":{"name":"软件工程与应用(英文)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"软件工程与应用(英文)","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.4236/jsea.2021.146014","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

The covid pandemic points out inconsistencies and points to improve in the organization of healthcare logistics. Indeed, the dangerousness and the propagation process of the virus imply to increase health security (patient and personal health). In this context, healthcare logistics flows require a new and safety organization improving the hospital performance. The purpose of this paper consists in optimizing healthcare logistics flows by solving problems associated to the internal logistics such as reduction of the personal health wasting time and the protection of both patients and personal health. Then, the methodology corresponds to the use of the hospital sustainable digital transformation as a response to healthcare flows and safety problems. Indeed, social, societal and environmental aspects have to be considered in addition to new technologies such as artificial intelligence (AI), Internet of Things (IoTs), Big data and analytics. These parameters could be used in the healthcare for increasing doctor, nurse, caregiver performance during their daily operations, and patient satisfaction. Indeed, this hospital digital transformation requires the use of large data associated to patients and personal health, algorithms, a performance measurement tool (actual and future state) and a general approach for transforming digitally the hospital flows. The paper findings show that the healthcare logistics performance could be improved with a sustainable digital transformation methodology and an intelligent software tool. This paper aims to develop this healthcare logistics 4.0 methodology and to elaborate the intelligent support system. After an introduction presenting the common hospital flows and their main problems, a literature review will be detailed for showing how existing concepts could contribute to the elaboration of a structured methodology. The structure of the intelligent software tool for the healthcare digital transformation and the tool development processes will be presented. An example will be given for illustrating the development of the tool.
Covid大流行背景下医疗保健物流4.0优化智能支持系统
covid - 19大流行指出了医疗保健物流组织中的不一致之处,并指出了改进之处。事实上,病毒的危险性和传播过程意味着要加强卫生安全(病人和个人的健康)。在这种情况下,医疗保健物流流程需要一个新的安全组织来改善医院的绩效。本文的目的在于通过解决与内部物流相关的问题,如减少个人健康浪费时间和保护患者和个人健康,来优化医疗保健物流流程。然后,该方法对应于医院可持续数字化转型的使用,作为对医疗流程和安全问题的响应。事实上,除了人工智能(AI)、物联网(iot)、大数据和分析等新技术之外,还必须考虑社会、社会和环境方面的因素。这些参数可用于医疗保健,以提高医生、护士、护理人员在日常操作中的表现和患者满意度。事实上,医院的数字化转型需要使用与患者和个人健康相关的大数据、算法、绩效衡量工具(实际和未来状态)以及数字化医院流程的一般方法。研究结果表明,通过可持续的数字化转型方法和智能软件工具,医疗保健物流绩效可以得到改善。本文旨在开发这一医疗物流4.0方法,并详细阐述智能支持系统。在介绍了常见的医院流程及其主要问题之后,将详细介绍文献综述,以展示现有概念如何有助于结构化方法的阐述。将介绍用于医疗保健数字化转型的智能软件工具的结构和工具开发过程。将给出一个示例来说明该工具的开发。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
815
文献相关原料
公司名称 产品信息 采购帮参考价格
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信